code: def _create_fake_samples():
      """Creates a fake set of samples.
  
      Returns:
        Tuple with fake images and fake latent values.
      """
      rs = np.random.RandomState(0)
      images = rs.randint(256, size=(NUM_IMAGES, 64, 64, 3)).astype(
          "uint8"
      )
      values = []
      for factor_values in FACTOR_VALUES:
          values.append(rs.choice(factor_values, size=(NUM_IMAGES)))
  
      return images, np.transpose(values)
  
file_path: datasets/tensorflow_datasets/testing/fake_data_generation/shapes3d.py
imports: import os
  from absl import app
  from absl import flags
  import h5py
  import numpy
  from tensorflow_datasets.core import utils
  from tensorflow_datasets.testing import test_utils
label_desc: Use image node_id 1 for calling a global function with example usage: _create_fake_samples() and returns: images,  np